{"id":"W4389121274","doi":"10.1007/978-3-031-42413-7","title":"Bayesian Statistics, New Generations New Approaches","year":2023,"lang":"en","type":"book","venue":"Springer proceedings in mathematics & statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Bayesian probability; Approximate Bayesian computation; Bayesian statistics; Computer science; Variable-order Bayesian network; Parametric statistics; Computation; Econometrics; Bayesian inference; Statistics; Machine learning; Artificial intelligence; Mathematics; Algorithm; Inference","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001396581,0.001426173,0.002173252,0.0008494483,0.0002540487,0.0006538416,0.001172236,0.0009573448,0.0008076677],"category_scores_gemma":[0.008010416,0.001465466,0.000199784,0.0005025344,0.000330518,0.0002070539,0.0005117187,0.001865242,0.0005625425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007200623,"about_ca_system_score_gemma":0.00232978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006816469,"about_ca_topic_score_gemma":0.0003396172,"domain_scores_codex":[0.9929001,0.00005130336,0.002706506,0.001412068,0.001557061,0.001372954],"domain_scores_gemma":[0.9925238,0.003995577,0.001439282,0.0008205838,0.0003764319,0.0008442723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008975666,0.0001212987,0.00001688164,0.002198689,0.0001209584,0.00006932882,0.00160056,0.000002439577,0.000006136106,0.6537428,0.3273567,0.01475519],"study_design_scores_gemma":[0.0006400889,0.0001277941,0.00003197586,0.001411874,0.0004948076,0.00002493805,0.0001744386,0.01112366,0.00003503821,0.9718221,0.01265136,0.001461922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001828894,0.0001151957,0.8971596,0.0002099227,0.0006861486,0.001449917,0.001973633,0.0004668104,0.09793692],"genre_scores_gemma":[0.000002259592,0.0001693341,0.6087967,0.00004165466,0.0008756733,0.00006929787,0.0001762653,0.0004092095,0.3894596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3180793,"threshold_uncertainty_score":0.9998488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245384737097388,"score_gpt":0.341471544811064,"score_spread":0.2169330711013252,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}